Telikepalli Kavitha
- Computational Theory and Mathematics top 1%
- Economics and Econometrics top 5%
- Management Science and Operations Research top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Co-authors
- Kurt MehlhornRobert W. IrvingChien‐Chung HuangDavid AbrahamDimitrios MichailMeghana NasreJulián MestreRamesh Hariharan
- Topics
- Complexity and Algorithms in Graphs (36 papers)Game Theory and Voting Systems (33 papers)Advanced Graph Theory Research (28 papers)
- Cited by
- Computational Theory and MathematicsManagement Science and Operations ResearchEconomics and Econometrics
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Telikepalli Kavitha
51 papers receiving 546 citations
Peers
Comparison fields: 5 of 53
- Computational Theory and Mathematics 356
- Economics and Econometrics 293
- Management Science and Operations Research 186
- Computer Networks and Communications 150
- Artificial Intelligence 110
Countries citing papers authored by Telikepalli Kavitha
This map shows the geographic impact of Telikepalli Kavitha's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Telikepalli Kavitha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Telikepalli Kavitha more than expected).
Fields of papers citing papers by Telikepalli Kavitha
This network shows the impact of papers produced by Telikepalli Kavitha. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Telikepalli Kavitha. The network helps show where Telikepalli Kavitha may publish in the future.
Co-authorship network of co-authors of Telikepalli Kavitha
This figure shows the co-authorship network connecting the top 25 collaborators of Telikepalli Kavitha. A scholar is included among the top collaborators of Telikepalli Kavitha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Telikepalli Kavitha. Telikepalli Kavitha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 24 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 55 | |
| 12 | 3 | |
| 13 | 17 | |
| 14 | 13 | |
| 15 | 4 | |
| 16 | 21 | |
| 17 | 47 | |
| 18 | 18 | |
| 19 | New Constructions of (alpha, beta)-Spanners and Purely Additive Spanners | 3 |
| 20 | 5 |
About Telikepalli Kavitha
Telikepalli Kavitha is a scholar working on Computational Theory and Mathematics, Economics and Econometrics and Computer Graphics and Computer-Aided Design, having authored 56 papers that have together received 581 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (36 papers), Game Theory and Voting Systems (33 papers) and Advanced Graph Theory Research (28 papers). The work is most often cited by research in Computational Theory and Mathematics (356 citations), Management Science and Operations Research (186 citations) and Economics and Econometrics (293 citations). Telikepalli Kavitha has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Kurt Mehlhorn, Robert W. Irving, Chien‐Chung Huang, David Abraham, Dimitrios Michail, Meghana Nasre, Julián Mestre, Ramesh Hariharan, Debmalya Panigrahi and L. Sunil Chandran. Their work appears in journals such as Mathematical Programming, SIAM Journal on Computing and Theoretical Computer Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.